← What I Do
Applied AI · AI implementation

Every build I've shipped started at a pain point.

I'm an AI implementation consultant for small businesses and established teams, and Applied AI is one of the three ways I work. Map the workflow, cut the waste, then point technology at what's left. Skip that order and you just get a faster mess. (I've met the faster mess. It is not cheaper.)

5,000 to 100,000catalog items, grown with image recognition
1 to 2Mphotos the model trained on
36 hrsto build MO Bill Watch solo with AI
17AI agents running my own work

What does an AI implementation consultant actually do?

An AI implementation consultant finds the work in a business that's slow, manual or error-prone, builds a system that does it, and stays until it holds up under real use. What you walk away with is a real, working system measured in results, not a demo that dies in a slide deck.

That's the whole job as I do it. I sit with the actual work until the real problem shows itself, take the waste out of the process, and only then point AI at what's left. Then I launch the version people actually use, watch where they get stuck, and make it smoother with every update.

Where should a business start with AI?

Start with the pain. Find the recurring work people complain about most, see how it actually gets done, and streamline it before you automate anything, because technology applied to a broken process only makes the mess move faster.

  1. Find the pain. Sit with the actual work until the real problem shows itself. It's usually upstream of where it hurts.
  2. Lean the process. Streamline before you automate. At Missouri Employers Mutual, quoting a workers' comp policy took ten minutes, and Lean process work and a rebuilt portal got it to three.
  3. Build something people use. Launch the version people actually use, watch where they get stuck, and leave behind something that runs without you.

If you'd rather start on your own, the free 30-Day AI Starter Plan follows the same order, with no code and about twenty minutes of setup.

What does a working AI system look like, compared with a demo?

A working AI system runs on real data every day, does a job someone used to do by hand, and had a written definition of "good enough" before it touched anything a customer sees. A demo doesn't need any of that.

  • An image-recognition system trained on 1 to 2 million photos that grew an online catalog from 5,000 items to 100,000, held to a precision and recall framework before it published a single listing. Teaching a Catalog to See
  • A model that read live data off the machines and flagged one about to break down before it did.
  • MO Bill Watch, which I built solo with AI in 36 hours: 3,403 pages covering every bill filed in Missouri's 2026 session, running for about the price of the domain.
  • JCMO Today, Jefferson City's local calendar, which refreshes itself three times a day with nobody at the keyboard.
  • My own AI chief of staff: 17 AI agents and one board for my calendar, my ventures and my house. It drafts, and I decide what goes out.

Do I need custom AI agents or off-the-shelf tools?

Start off the shelf, and go custom where the work is yours. A general AI assistant with your email and calendar connected handles the daily basics, like a morning brief and inbox triage. Custom agents earn their place when the workflow is specific to how you operate and nothing on a vendor's price list fits it.

That second case comes up more than it used to. AI makes software shaped to how you actually work genuinely affordable, and one-size-fits-all is living on borrowed time. I built my own booking app in one morning instead of paying for one. The End of One-Size-Fits-All explains the shift, and Built in a Morning shows it.

What does AI implementation cost, and how long does it take?

Both depend on the job. It starts with a free call and a fixed-price diagnostic from $3,500, and builds start at $12,000, quoted from what the diagnostic finds; here's how pricing works. Small builds can take a morning, and bigger ones take longer: the online channel in my first case study was built through 2023 and went live in January 2024.

What it costs to run afterward matters as much as the build. MO Bill Watch runs for about the price of the domain, and JCMO Today for roughly $10 a year. What drives the cost of AI consulting walks through the rest.

How does applied AI fit with growth strategy and taking a business online?

Applied AI is one of three engagements, and they work well together: strategy finds the opening, the online business brings in the revenue, and AI handles what people can't. Bring me in for one, or all three.

  • Growth strategy, when you need traction. I start in the data (what's happening) and then in real conversations with your customers (why it's happening), because a spreadsheet has never once told anyone the whole truth. I've made those calls at the scale of a customer base that grew 328% in a year.
  • Digital channel development, when the business has to go online for real: sign-up, credit and payments, paperwork, and the behind-the-scenes connections that make a real sale possible. It's the work behind an online business grown from $0 to $12M+ a year in two years. Building a Digital Channel From Zero

All three are on What I Do.

How do we start?

Tell me what you're working on through the contact form or at hello@shannonowens.com. I read every message myself and reply personally.

Working in Missouri? Here's what AI consulting looks like here. Running a small business? Start with AI for a small business.

Tell me what you're working on →

Or see the proof first.